Graph neural networks — citation graph of key research

Explore the most influential research on graph neural networks as an interactive citation graph on Constellation. The papers below are connected by direct citations and shared references — open any one to center the graph on it and discover related work.

Top papers on graph neural networks

  1. The Graph Neural Network Model
    Franco Scarselli, M. Gori, Ah Chung Tsoi et al. — 2008 · IEEE Transactions on Neural Networks · 9,651 citations
  2. A Comprehensive Survey on Graph Neural Networks
    Zonghan Wu, Shirui Pan, Fengwen Chen et al. — 2020 · IEEE Transactions on Neural Networks and Learning Systems · 9,839 citations
  3. Graph neural networks: A review of methods and applications
    Jie Zhou, Ganqu Cui, Shengding Hu et al. — 2020 · AI Open · 5,803 citations
  4. Targeted Branching for the Maximum Independent Set Problem Using Graph Neural Networks
    Silva, Gabriel, Rodrigues, Mário, Teixeira, António et al. — 2024 · DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 5,414 citations
  5. A Comprehensive Survey on Graph Neural Networks
    Wu, Z, Pan, S, Chen, F et al. — 2020 · UTS ePRESS (University of Technology Sydney) · 3,307 citations
  6. Graph Neural Networks: A Review of Methods and Applications
    Jie Zhou, Ganqu Cui, Shengding Hu et al. — 2018 · arXiv (Cornell University) · 1,448 citations
  7. Graph neural network for traffic forecasting: A survey
    Weiwei Jiang, Jiayun Luo — 2022 · Expert Systems with Applications · 1,289 citations
  8. Graph Neural Networks in Recommender Systems: A Survey
    Shiwen Wu, Fei Sun, Wentao Zhang et al. — 2022 · ACM Computing Surveys · 1,204 citations
  9. Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks
    Christopher Morris, Martin Ritzert, Matthias Fey et al. — 2019 · 1,234 citations
  10. GraphDTA: predicting drug–target binding affinity with graph neural networks
    Thin Nguyen, Thin Nguyen, Hang Le et al. — 2020 · Bioinformatics · 1,242 citations
  11. E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials
    Simon Batzner, Albert Musaelian, Lixin Sun et al. — 2022 · Nature Communications · 1,820 citations
  12. ImageNet classification with deep convolutional neural networks
    Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton — 2017 · Communications of the ACM · 75,666 citations